Comments (9)
ronisbr
commented on June 27, 2024
I do really need to connect a signal in fig[:canvas] using fig[:canvas][:mpl_connect]. However, I am getting this same error message. I am trying to get the position of a mouse click over a plot. Is there any way to solve the problem now?
Thanks,
Ronan
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stevengj
commented on June 27, 2024
This is due to JuliaPy/PyCall.jl#158, and looks like it requires some implementation work in PyCall to support Python weak references to Julia objects.
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ronisbr
commented on June 27, 2024
Ok, thanks @stevengj.
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ronisbr
commented on June 27, 2024
Hi! Did something change? I was able to connect an event to a Julia function using the fig[:canvas][:mpl_connect] without problems. The weak reference error does not show anymore.
Here is an example:
using PyCall
pygui(:qt5)
using PyPlot
function test(event)
println("Click: $(event[:xdata]), $(event[:ydata])")
end
fig = figure()
plot(0:1:10, 0:1:10)
fig[:canvas][:mpl_connect]("button_press_event", test)Then, after clicking on the figure, I see:
julia> Click: 4.423387096774194, 4.476190476190478
Click: 5.820564516129033, 4.11904761904762
Click: 1.806451612903226, 7.2738095238095255
Click: 3.691532258064516, 7.690476190476192
Click: 6.286290322580645, 7.660714285714288
Click: 7.572580645161291, 5.30952380952381
Click: 5.997983870967743, 2.7202380952380962
Click: 1.5625, 3.7916666666666674
Click: 0.941532258064516, 6.708333333333336
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ronisbr
commented on June 27, 2024
Here is a gif of my Control Toolbox package that I was developing. I was really wanting this feature to have an interactive plot:
EDIT: I tested this with both Python 2 and 3 using Qt4, Qt5, and Tk as backend. Everything worked as expected!
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lukasfischer83
commented on June 27, 2024
What Julia/PyCall version were you using for that? Did you also test on linux?
I still get the same "weak reference" error in 0.6.2 and after a Pkg.update() on ubuntu.
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ronisbr
commented on June 27, 2024
I was using Julia 0.6.2 and latest released version of PyCall in openSUSE linux. I tested it on macOS and Linux. In linux, I performed a test using different versions of Python and QT5. Everything worked. You can see this package here:
https://github.com/ronisbr/ControlToolbox.jl
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lukasfischer83
commented on June 27, 2024
Unfortunately in my setup (ubuntu 14.04, tried Python 3.4 and 2.7) it also doesn't work with your example.
rlocus(G)
ERROR: PyError (ccall(@pysym(:PyObject_Call), PyPtr, (PyPtr, PyPtr, PyPtr), o, arg, C_NULL)) <class 'TypeError'>
TypeError("cannot create weak reference to 'PyCall.jlwrap' object",)
File "/usr/lib/python3/dist-packages/matplotlib/backend_bases.py", line 2324, in mpl_connect
return self.callbacks.connect(s, func)
File "/usr/lib/python3/dist-packages/matplotlib/cbook.py", line 495, in connect
self._func_cid_map[s][func] = cid
File "/usr/lib/python3.4/weakref.py", line 365, in __setitem__
self.data[ref(key, self._remove)] = value
Stacktrace:
[1] pyerr_check at /home/lukas/.julia/v0.6/PyCall/src/exception.jl:58 [inlined]
[2] pyerr_check at /home/lukas/.julia/v0.6/PyCall/src/exception.jl:62 [inlined]
[3] macro expansion at /home/lukas/.julia/v0.6/PyCall/src/exception.jl:82 [inlined]
[4] #_pycall#88(::Array{Any,1}, ::Function, ::PyCall.PyObject, ::String, ::Vararg{Any,N} where N) at /home/lukas/.julia/v0.6/PyCall/src/PyCall.jl:710
[5] _pycall(::PyCall.PyObject, ::String, ::Vararg{Any,N} where N) at /home/lukas/.julia/v0.6/PyCall/src/PyCall.jl:698
[6] #pycall#92(::Array{Any,1}, ::Function, ::PyCall.PyObject, ::Type{PyCall.PyAny}, ::String, ::Vararg{Any,N} where N) at /home/lukas/.julia/v0.6/PyCall/src/PyCall.jl:732
[7] pycall(::PyCall.PyObject, ::Type{PyCall.PyAny}, ::String, ::Vararg{Any,N} where N) at /home/lukas/.julia/v0.6/PyCall/src/PyCall.jl:732
[8] #call#93(::Array{Any,1}, ::PyCall.PyObject, ::String, ::Vararg{Any,N} where N) at /home/lukas/.julia/v0.6/PyCall/src/PyCall.jl:735
[9] (::PyCall.PyObject)(::String, ::Vararg{Any,N} where N) at /home/lukas/.julia/v0.6/PyCall/src/PyCall.jl:735
[10] plot_rlocus(::Array{Array{Complex{Float64},1},1}, ::Array{Float64,1}, ::Array{Complex{Float64},1}, ::Array{Complex{Float64},1}, ::Array{Complex{Float64},1}, ::Array{Complex{Float64},1}) at /home/lukas/.julia/v0.6/ControlToolbox/src/plots/plot_rlocus.jl:45
[11] #rlocus#22(::Bool, ::Function, ::ControlToolbox.TransferFunction, ::Array{Any,1}) at /home/lukas/.julia/v0.6/ControlToolbox/src/analysis/rlocus.jl:222
[12] rlocus(::ControlToolbox.TransferFunction) at /home/lukas/.julia/v0.6/ControlToolbox/src/analysis/rlocus.jl:27
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ronisbr
commented on June 27, 2024
One question, did you install matplotlib from pip?
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